Statsmodels镶嵌图ValueError：无法将浮点NaN转换为整数答案

【问题标题】：Statsmodels mosaic plot ValueError: cannot convert float NaN to integerStatsmodels镶嵌图ValueError：无法将浮点NaN转换为整数
【发布时间】：2015-09-10 23:08:06
【问题描述】：

我有一个简单的 pandas DataFrame，我想为它创建一个马赛克图。这是我的代码：

import pandas as pd
from statsmodels.graphics.mosaicplot import mosaic 

mydata = pd.DataFrame({'id2': {64: 'Angelica', 
                               65: 'DXW_UID', 66: 'casuid01', 
                               67: 'casuid01', 68: 'EC93_uid', 
                               69: 'EC93_uid', 70: 'EC93_uid', 
                               60: 'DXW_UID',  61: 'AtmosFox', 
                               62: 'DXW_UID', 63: 'DXW_UID'}, 
                       'id1': {64: 'TGP', 
                               65: 'Retention01', 66: 'default',
                               67: 'default', 68: 'Musa_EC_9_3', 
                               69: 'Musa_EC_9_3', 70: 'Musa_EC_9_3', 
                               60: 'default', 61: 'default', 
                               62: 'default', 63: 'default'}})

mydata
            id1       id2
60      default   DXW_UID
61      default  AtmosFox
62      default   DXW_UID
63      default   DXW_UID
64          TGP  Angelica
65  Retention01   DXW_UID
66      default  casuid01
67      default  casuid01
68  Musa_EC_9_3  EC93_uid
69  Musa_EC_9_3  EC93_uid
70  Musa_EC_9_3  EC93_uid

[11 rows x 2 columns]

当我排除第 64 行时，我可以很好地创建马赛克图。

mosaic(mydata[mydata.id1!='TGP'], ['id1','id2'])
(<matplotlib.figure.Figure object at 0x11E0D3B0>, OrderedDict([(('default', 'DXW_UID'), (0.0, 0.0, 0.594059405940594, 0.49504950495049505)), (('default', 'AtmosFox'), (0.0, 0.49834983498349833, 0.594059405940594, 0.16501650165016499)), (('default', 'casuid01'), (0.0, 0.66666666666666663, 0.594059405940594, 0.33003300330033009)), (('default', 'EC93_uid'), (0.0, 1.0, 0.594059405940594, 0.0)), (('Retention01', 'DXW_UID'), (0.599009900990099, 0.0, 0.09900990099009899, 0.99009900990099009)), (('Retention01', 'AtmosFox'), (0.599009900990099, 0.99339933993399343, 0.09900990099009899, 0.0)), (('Retention01', 'casuid01'), (0.599009900990099, 0.99669966996699666, 0.09900990099009899, 0.0)), (('Retention01', 'EC93_uid'), (0.599009900990099, 1.0, 0.09900990099009899, 0.0)), (('Musa_EC_9_3', 'DXW_UID'), (0.7029702970297029, 0.0, 0.29702970297029707, 0.0)), (('Musa_EC_9_3', 'AtmosFox'), (0.7029702970297029, 0.0033003300330033004, 0.29702970297029707, 0.0)), (('Musa_EC_9_3', 'casuid01'), (0.7029702970297029, 0.0066006600660066007, 0.29702970297029707, 0.0)), (('Musa_EC_9_3', 'EC93_uid'), (0.7029702970297029, 0.0099009900990099011, 0.29702970297029707, 0.99009900990099009))]))

情节很好（除了一些标签看起来有点滑稽——但这不是问题）。

当我包含第 64 行时出现错误。我的问题是，为什么此行会导致此错误，我该如何解决？我可以看到在尝试绘制图像时发生了错误，但 NaN 的来源并不明显，特别是因为之前的绘图工作得很好。

mosaic(mydata, ['id1','id2'])
(<matplotlib.figure.Figure object at 0x11D13ED0>, OrderedDict([(('default', 'DXW_UID'), (0.0, 0.0, 0.5373936408419167, 0.49342105263157893)), (('default', 'AtmosFox'), (0.0, 0.49671052631578938, 0.5373936408419167, 0.16447368421052627)), (('default', 'casuid01'), (0.0, 0.66447368421052622, 0.5373936408419167, 0.32894736842105265)), (('default', 'Angelica'), (0.0, 0.99671052631578938, 0.5373936408419167, 0.0)), (('default', 'EC93_uid'), (0.0, 1.0, 0.5373936408419167, 0.0)), (('TGP', 'DXW_UID'), (0.5423197492163009, 0.0, 0.08956560680698614, 0.0)), (('TGP', 'AtmosFox'), (0.5423197492163009, 0.0032894736842105261, 0.08956560680698614, 0.0)), (('TGP', 'casuid01'), (0.5423197492163009, 0.0065789473684210523, 0.08956560680698614, 0.0)), (('TGP', 'Angelica'), (0.5423197492163009, 0.0098684210526315784, 0.08956560680698614, 0.98684210526315785)), (('TGP', 'EC93_uid'), (0.5423197492163009, 1.0, 0.08956560680698614, 0.0)), (('Retention01', 'DXW_UID'), (0.6368114643976712, 0.0, 0.08956560680698614, 0.98684210526315785)), (('Retention01', 'AtmosFox'), (0.6368114643976712, 0.99013157894736836, 0.08956560680698614, 0.0)), (('Retention01', 'casuid01'), (0.6368114643976712, 0.99342105263157876, 0.08956560680698614, 0.0)), (('Retention01', 'Angelica'), (0.6368114643976712, 0.99671052631578938, 0.08956560680698614, 0.0)), (('Retention01', 'EC93_uid'), (0.6368114643976712, 1.0, 0.08956560680698614, 0.0)), (('Musa_EC_9_3', 'DXW_UID'), (0.7313031795790416, 0.0, 0.2686968204209583, 0.0)), (('Musa_EC_9_3', 'AtmosFox'), (0.7313031795790416, 0.0032894736842105261, 0.2686968204209583, 0.0)), (('Musa_EC_9_3', 'casuid01'), (0.7313031795790416, 0.0065789473684210523, 0.2686968204209583, 0.0)), (('Musa_EC_9_3', 'Angelica'), (0.7313031795790416, 0.0098684210526315784, 0.2686968204209583, 0.0)), (('Musa_EC_9_3', 'EC93_uid'), (0.7313031795790416, 0.013157894736842105, 0.2686968204209583, 0.98684210526315785))]))

当我运行上面的代码时，我得到了这个 Traceback：

  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4.py", line 374, in idle_draw
    self.draw()
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4agg.py", line 154, in draw
    FigureCanvasAgg.draw(self)
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py", line 451, in draw
    self.figure.draw(self.renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 1034, in draw
    func(*args)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 2086, in draw
    a.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 1096, in draw
    tick.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 241, in draw
    self.label1.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\text.py", line 598, in draw
    ismath=ismath, mtext=self)
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py", line 188, in draw_text
    font.get_image(), np.round(x - xd), np.round(y + yd) + 1, angle, gc)
ValueError: cannot convert float NaN to integer
Traceback (most recent call last):
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4.py", line 299, in resizeEvent
    self.draw()
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4agg.py", line 154, in draw
    FigureCanvasAgg.draw(self)
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py", line 451, in draw
    self.figure.draw(self.renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 1034, in draw
    func(*args)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 2086, in draw
    a.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 1096, in draw
    tick.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 241, in draw
    self.label1.draw(renderer)
  File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\text.py", line 598, in draw
    ismath=ismath, mtext=self)
  File "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py", line 188, in draw_text
    font.get_image(), np.round(x - xd), np.round(y + yd) + 1, angle, gc)
ValueError: cannot convert float NaN to integer

我在 spyder IDE 中使用默认设置运行了上述代码。

here 解决了一个类似问题，而数字下溢是罪魁祸首。但是，如果这里是这种情况，那么原因就完全不明显了。

【问题讨论】：

这很有趣。这是matplotlib 渲染标签的问题，与数据无关。要查看此内容，请尝试 mosaic(mydata.replace({'Angelica':'Angelico'}), ['id1', 'id2'])，它应该可以正常工作。
我需要一些帮助来调试它：在matplotlib/text.py 中，有一个Text 对象，其self._transform 在其Bboxs 之一中有一些nan 值。我已经超出了我的深度。
问题似乎是由轴标签引起的，因为设置axes_labels=False “解决”问题：mosaic(mydata, ['id1','id2'], axes_label=False)
我有一些奇怪的行为。如果我复制示例，我会得到异常。在用a（相同的字母）替换'Angelica'中的最后一个a之后，我没有得到例外。我正在使用python 3.4。另外：标签有一个 RuntimeWarning，因为尺寸应该很快修复。
当我使用 PR 进行更正时，我在所有尝试中都没有遇到异常。 github.com/statsmodels/statsmodels/pull/2286

标签： pandas matplotlib statsmodels mosaic-plot

【解决方案1】：

根据the docs，第一个参数应该是列联表。您的做事方式完全有效这一事实似乎是一个未记录的功能。

您看到的行为（包括“有趣”的标签）是因为您的列联表中的许多条目都是零，而 mosiac 的标签代码中的某些内容很难处理。

要查看此内容，请将您的 DataFrame 转换为列联表：

In [161]: pd.crosstab(mydata.id1, mydata.id2)
Out[161]: 
id2          Angelica  AtmosFox  DXW-UID  EC93-uid  casuid01
id1                                                         
Musa-EC-9-3         0         0        0         3         0
Retention01         0         0        1         0         0
TGP                 1         0        0         0         0
default             0         1        3         0         2

并为所有这些零添加“一点点”。然后马赛克就可以正常工作了。

In [165]: ct = pd.crosstab(mydata.id1, mydata.id2)
In [166]: ctplus = ct + 1
In [167]: mosaic(ctplus.unstack())

结果相当漂亮：

小缺点是它是错误的！但是你可以通过这样做来解决这个问题

ctplus = ct + 1e-8

只是在所有这些零上添加一点点。情节仍然有效（但看起来很难看，因为马赛克的所有零瓷砖上的标签都在彼此之上）：

【讨论】：

感谢 LondonRob！我仍然不确定为什么'Angelica' 如此粗鲁:)，但应急表的方式为我解决了这个问题。我也很高兴看到你调整美学的方式。文档确实建议支持使用 DataFrames（请参阅链接中的最后一段）：“使用 DataFrame 作为源，指定感兴趣的列的名称 >>> 性别 = ['male', 'male', 'male ', 'female', 'female', 'female'] >>> pet = ['cat', 'dog', 'dog', 'cat', 'dog', 'cat'] >>> data = pandas .DataFrame({'gender': 性别, 'pet': 宠物}) >>> 马赛克(data, ['pet', 'gender']) >>> pylab.show()".
@LondonRob，确实非常有用的答案。有什么方法可以去除文字覆盖？